Senior Data Engineer

TopDog Law

31d

About The Position

We are seeking a Senior Data Engineer to help build and scale the data platform that powers analytics, reporting, and data-driven decision-making across the organization. This role is responsible for designing and maintaining reliable data pipelines, building scalable data infrastructure, and ensuring that high-quality, well-structured data is consistently available for analytics and operational use. The Senior Data Engineer will work closely with the Director of Data, who defines the broader data strategy and architecture. This role focuses on translating that strategy into reliable production systems and ensuring the day-to-day reliability, performance, and scalability of the data platform. This is a hands-on engineering role focused on data platform development, pipeline reliability, and infrastructure scalability. This role is critical to our success because it: Directly impacts [clients / revenue / case outcomes / team efficiency] Supports speed, quality, and consistency as we scale Helps protect and elevate the TopDog Law brand and client experience Strengthens the foundation needed to grow responsibly and sustainably

Requirements

5+ years of experience building and maintaining production data pipelines
Strong SQL skills and experience working with large datasets
Experience with modern cloud data warehouses such as Snowflake or BigQuery
Experience building transformation workflows using dbt or similar tools
Experience working with orchestration tools such as Airflow
Strong understanding of data pipeline reliability, performance optimization, and scalability
Experience using version control systems such as Git in collaborative development environments

Nice To Haves

Experience supporting data infrastructure used for machine learning workflows
Experience building feature pipelines or supporting predictive modeling workloads
Experience using Python for data processing and pipeline development
Experience implementing monitoring and observability for data systems
Experience working in high-growth or rapidly scaling environments
Strong communication skills—written and verbal
Ability to think critically, prioritize effectively, and execute with speed

Responsibilities

Data Pipeline Development
Design, build, and maintain reliable data ingestion pipelines from internal systems and third-party data sources
Implement scalable ELT workflows that process and deliver data across the organization
Maintain transformation pipelines and ensure reliable delivery of analytics-ready datasets
Data Platform Engineering
Manage and optimize the performance, reliability, and scalability of the company’s cloud data warehouse environment
Maintain orchestration frameworks and scheduling systems that support data workflows
Optimize data pipeline performance, compute utilization, and system efficiency
Support infrastructure required for advanced analytics and machine learning workloads
Data Infrastructure & Reliability
Implement monitoring, alerting, and observability across data pipelines and platform components
Ensure data freshness and system uptime meet defined service expectations
Diagnose and resolve production issues including pipeline failures, data quality issues, and performance bottlenecks
Engineering Standards & Development Practices
Maintain version-controlled data infrastructure and CI/CD workflows for data pipelines
Implement testing and validation practices to ensure data quality and reliability
Contribute to documentation of data pipelines, system architecture, and platform dependencies
Collaboration
Partner with the Director of Data to implement data architecture and platform improvements
Support analytics and BI teams by ensuring reliable and well-modeled datasets are available for reporting and analysis
Contribute engineering input to platform improvements and technical roadmap initiatives
At TopDog Law, everyone is expected to think critically, communicate clearly, and take ownership of their work.